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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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0111 · Sep 200419922001200920182026
12 results for honeycombs

The paper analyzes the emergence of almost-honeycomb structures in low-energy planar clusters.

problem Understanding the formation of shapes resembling honeycombs in low-energy configurations.
method Detailed quantitative estimates and a revision of the global isoperimetric principle for honeycomb clusters.
result The majority of chambers in low-energy planar clusters are generalized hexagons, closely resembling regular hexagons.

The study examines topological surfaces using grid structures in Euclidean and hyperbolic spaces.

problem Understanding topological surfaces in geometric spaces.
method Using gridded surfaces in cubic honeycombs of Euclidean and hyperbolic spaces.
result Topological surfaces can be represented as gridded structures in these spaces.

Project aims to diagnose and track IPF disease using deep learning.

problem Diagnosing and tracking IPF disease in lung images.
method Developed a deep learning model for identifying honeycombing and ground glass patterns in HRCT lung images.
result Deep learning model achieved high accuracy in identifying specific lung regions.

It is known that every ribbon category with unimodality allows symmetrized 6j6j-symbols with full tetrahedral symmetries while a spherical category does not in general. We give an explicit counterexample for this, namely the category E\mathcal{E}. We define the mirror conjugate symmetry of 6j6j-symbols instead and sho…

2009-07-13abs ↗pdf ↗

Paper proposes a weak supervision technique for CNN semantic segmentation of lung diseases using partially annotated data.

problem Creating annotated datasets for semantic segmentation of lung diseases is laborious and time-consuming.
method Proposes a weak supervision technique that utilizes partially annotated datasets to improve CNN semantic segmentation accuracy.
result Significantly improved segmentation accuracy using partially annotated datasets.

3D self-affine tiles with specific digit sets have boundary homeomorphic to a 2-sphere.

problem Characterizing 3D self-affine tiles with collinear digit sets whose boundary is a sphere.
method Using lattice tiling combinatorics and topological properties of spheres, the paper characterizes such tiles.
result The boundary of these tiles is homeomorphic to a 2-sphere under certain conditions.